LM Studio Developers

Updates for developers building with @lmstudio 👾

[LM Studio Developers @lmstudiodevs]

LM Studio with Multi Token Prediction (MTP) is now in beta.

1. Update to 0.4.14+3 in-app
2. Make sure your llama.cpp engine is 2.15.0
3. Turn on MTP when loading a model

Use a model that supports it, like Qwen3.6-35B-A3B-MTP-GGUF or Qwen3.6-27B-MTP-GGUF

[LM Studio @lmstudio]

MTP is available in LM Studio 0.4.14.

Sound on.

[LM Studio Developers @lmstudiodevs]

@ForProduction https://t.co/xtndufzi6B

[LM Studio Developers @lmstudiodevs]

LM Studio with Multi Token Prediction (MTP) is now in beta.

1. Update to 0.4.14+3 in-app
2. Make sure your llama.cpp engine is 2.15.0
3. Turn on MTP when loading a model

Use a model that supports it, like Qwen3.6-35B-A3B-MTP-GGUF or Qwen3.6-27B-MTP-GGUF

[LM Studio Developers @lmstudiodevs]

@CryZe107 lms runtime update llama.cpp --channel beta

[LM Studio Developers @lmstudiodevs]

@VinfoCats This might help https://t.co/6fNrPT1kSR

[LM Studio Developers @lmstudiodevs]

@uglesado 🤭

[LM Studio @lmstudio]

Batching for vision models is now available in Beta with our latest MLX engine update 👾

The updated engine also brings major improvements to caching for faster inference overall.

Turn on Developer Mode, choose the beta runtime channel, and select LM Studio MLX v1.8.1.

[LM Studio @lmstudio]

Locally AI is joining LM Studio!

We are beyond excited to welcome @adrgrondin and @LocallyAIApp to the LM family.

Together we are doubling down on native AI experiences across your devices, anywhere you go.

Read our announcement https://t.co/Yzcnr8EEP0

[LM Studio @lmstudio]

Our servers are overloaded at the moment, and we are working to fix this! Very sorry for the inconvenience.

Model search, download, LM Link, and website are impacted. Stay tuned for updates.

[LM Studio Developers @lmstudiodevs]

We worked with @NVIDIAAI to bring up support for DGX Station GB300 at launch!

✨ 748GB of coherent memory
👾 Install llmster and enable LM Link
🛰️ Load models and use them from other devices

Learn how to set it up: https://t.co/TU6Lf8Lr2u

🚀⚡️🔥

[LM Studio Developers @lmstudiodevs]

LM Studio 0.4.7 Beta (build 3) is now available.

This build contains many bug fixes:

🐛🔨 LaTeX ($ signs) rendering, extraneous <think> tags in coding agents, fixes for tool calling parsing, and more!

Update in-app or from https://t.co/xtndufzi6B

[PC Watch @pc_watch]

【西川和久の不定期コラム】外出先の非力なノートPCで自宅の大型LLMを動かす「LM Link」登場 https://t.co/xlahUnwPwz

[LM Studio @lmstudio]

Nemotron 3 Super by @nvidia is now live in LM Studio!

🦾 Open-weight 120B MoE, 12B active params
📜 Supports up to 1M tokens context window

Requires about ~83GB to run locally 🚀

https://t.co/5v6WKnnUra

[LM Studio Developers @lmstudiodevs]

@FoolaFroos 🔥

[Framework @FrameworkPuter]

One of the coolest uses of @lmstudio and @AIatAMD is using LM Link to have a Framework Desktop be a remote inference server for a laptop, including something little like Framework Laptop 12. It feels native on the laptop, but gets the desktop’s performance.

[LM Studio Developers @lmstudiodevs]

@dingchilling You should see this in the chat input box. Clicking on it would turn thinking off

[LM Studio Developers @lmstudiodevs]

|￣￣￣￣￣￣￣￣￣￣￣￣￣ |
| lms get qwen3.5-9b |
|＿＿＿＿＿＿＿＿＿＿＿＿＿ |
(\__/) ||
(•ㅅ•) ||
/ づ

[Qwen @Alibaba_Qwen]

🚀 Introducing the Qwen 3.5 Small Model Series
Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B

✨ More intelligence, less compute.
These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL:
• 0.8B / 2B → tiny, fast, great for edge device
• 4B → a surprisingly strong multimodal base for lightweight agents
• 9B → compact, but already closing the gap with much larger models
And yes — we’re also releasing the Base models as well.
We hope this better supports research, experimentation, and real-world industrial innovation.
Hugging Face: https://t.co/wFMdX5pDjU
ModelScope: https://t.co/9NGXcIdCWI

[LM Studio @lmstudio]

Introducing LM Link ✨ Connect to remote instances of LM Studio, securely.

🔐 End-to-end encrypted
📡 Load models locally, use them on the go
🖥️ Use local devices, LLM rigs, or cloud VMs

Launching in partnership with @Tailscale

Try it now: https://t.co/Vl2vr6HlF5

[LM Studio @lmstudio]

Introducing Parallel Requests for MLX!

Multiple requests to the same model can now be processed simultaneously ✨🚄⚡️

Works both in the API and in Split View chats.

See it in action 👇🕺